Maximum Likelihood Estimation Examples
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Question 1 of 3
1. Question
Maximum likelihood estimation involves maximizing the probability density function, evaluated at the measured data, over the unknown parameters.
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Question 2 of 3
2. Question
One mathematical method for finding the maximum likelihood estimate is setting the derivative of the probability density function with respect to the unknown parameter equal to zero.
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Question 3 of 3
3. Question
The technique of completing the square can be used to minimize quadratic functions of the unknown parameters.
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